pith. sign in

arxiv: 1010.1755 · v1 · pith:JCL6NWUHnew · submitted 2010-10-08 · 🧬 q-bio.QM · q-bio.MN· q-bio.SC

Sensitivity analysis of a computational model of the IKK-NF-{kappa}B-I{kappa}B{α}-A20 signal transduction network

classification 🧬 q-bio.QM q-bio.MNq-bio.SC
keywords kappanetworkalphasignalingclusterscomputationaldifferentikk-nf-
0
0 comments X
read the original abstract

The NF-{\kappa}B signaling network plays an important role in many different compartments of the immune system during immune activation. Using a computational model of the NF-{\kappa}B signaling network involving two negative regulators, I{\kappa}B{\alpha} and A20, we performed sensitivity analyses with three different sampling methods and present a ranking of the kinetic rate variables by the strength of their influence on the NF-{\kappa}B signaling response. We also present a classification of temporal response profiles of nuclear NF-{\kappa}B concentration into six clusters, which can be regrouped to three biologically relevant clusters. Lastly, based upon the ranking, we constructed a reduced network of the IKK-NF-{\kappa}B-I{\kappa}B{\alpha}-A20 signal transduction.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.